mistral-7B-med-merge: benchmark results
Provider: Mistral.
Aggregate Rating 1393 ± 35, rank #6416 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - ARC Challenge | 64.51 | Normalized accuracy (%) (25-shot) | 66.8 |
| Open LLM Leaderboard v1 - WinoGrande | 78.61 | Accuracy (%) (5-shot) | 64.3 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 53.65 | MC2 (%) (0-shot) | 60.3 |
| Open LLM Leaderboard v1 - GSM8K | 44.96 | Accuracy (%) (5-shot) | 59 |
| Open LLM Leaderboard v1 - HellaSwag | 82.96 | Normalized accuracy (%) (10-shot) | 55 |
| Open LLM Leaderboard v1 - MMLU | 57.84 | Accuracy (%) (5-shot) | 41.9 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-med-merge · How It Works · Data refreshed daily, snapshot 2026-11-08.